Study type

Study topic

DiseaseĀ /health condition
Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(N05A) ANTIPSYCHOTICS
ANTIPSYCHOTICS
(N06A) ANTIDEPRESSANTS
ANTIDEPRESSANTS

Medical condition to be studied

Ventricular arrhythmia
Cardiac failure
Pneumonia
Ischaemic stroke
Hip fracture
Death
Embolism venous
Population studied

Short description of the study population

neuroleptics (NLs) and antidepressants (ADs) users aged 65 years and older.

Age groups

Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

523000
Study design details

Main study objective

To estimate the risk of acute myocardial infarction, heart failure, ventricular arrhythmia, ischemic stroke, hip fracture and all-cause mortality for incident users of NLs and ADs aged 65 years and older and to compare these risks between individual drugs and drug classes. For incident NL users, the outcomes pneumonia and venous thromboembolism will also be investigated.

Outcomes

Acute myocardial infarction, heart failure, ventricular arrhythmia, ischemic stroke, hip fracture, pneumonia, venous thromboembolism and all-cause mortality.

Data analysis plan

For the primary and secondary analysis, Cox models will be used to estimate the adjusted hazard ratio for each outcome in the NL (reference group: atypical neuroleptic) and antidepressant (reference group: tri- and tetracyclic antidepressants) drug classes and for frequently used individual drugs (reference group neuroleptic: risperidone, reference group antidepressants: citalopram). The time-scale for the time-to-event analysis is the time in the cohort until occurrence of an outcome or censoring at the end of cohort time. Pre-defined a priori covariates such as age, sex, and prior history of selected co-morbidity and co-medication will always be included in the model. A backward selection (p=0.05) will be performed to include additional covariates in the model.